Diabetic foot ulcer (DFU) is a common problem, especially affecting diabetes patients. Many patients complain of delayed wound healing and ankle wounds that often develop from calluses, and these wounds themselves can lead to more complicated systemic infections. Therefore, early diagnosis of diabetic foot ulcers in medical diagnostic tools is necessary for timely treatment. Medical imaging is constantly evolving over the years for the detection and prediction of DFU. It is seen that advanced machinery and processes are integrated into daily medical practice to achieve accurate results. The topic of diabetic foot ulcer diagnosis through various medical imaging techniques was addressed. Finally, in the conclusion part, a different artificial intelligence model that would contribute a state-of-the-art solution to a small group of people was proposed. Improvements in medical imaging and artificial intelligence are expected to unlock new insights and make better decisions. Early detection can provide timely and preventive intervention to diabetes patients and improve the quality of life of patients, especially those with diabetes. This integration can be employed in a professional care setting to provide triage to higher-risk servers. With advancements in medical imaging capturing light and 3D imaging or spectroscopy technology, research on the development of predictive algorithms for this data seems to hold promise, as it may uncover important new biological and phenotypic features. This area is a ripe space for future work, especially as effective medicine and therapeutics come online through this interaction. Various technologies for early detection of diabetic foot ulcers to assist clinicians have been addressed in different sections.